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Location: Ramat Gan, Israel About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt works together with over 30,000 restaurant and retail partners as well as with over 60,000 courier partners across 23 countries and 129 cities. Our apps (iOS and Android) have the industry’s highest reviews, largely because of our customer-centric approach to how we build our products and operations. For example, our customer service team responds in a matter of seconds, in the customer’s own language. We’ve raised more than €707M in financing from renowned U.S. and European based investors, such as ICONIQ Capital, Tiger Global, DST, Prosus, KKR, Coatue, 83North, Goldman Sachs, Highland Europe and EQT Ventures & EQT Growth, among others. We've also been fortunate enough to receive some appreciation and recognition for our hard work along the way: Apple selected Wolt’s app as their Editors' Choice, Wired named the company one of the "Hottest Startups in Europe," Forbes included our CEO Miki Kuusi on its 30-under-30 in Consumer Tech list, and the Nordic Startup Awards named Wolt Company of the Year. In 2020, the Financial Times named us Europe’s second fastest growing company. We’re still expanding rapidly and are looking for more talented individuals to join us. If you are passionate about cutting-edge technology, great food, and making an impact in your city, then Wolt just might be for you. Wolt is more than just a food and retail delivery operation – in fact we are built upon a solid foundation of state-of-the-art technology. Our internal tooling enables us to ramp up new cities efficiently and provide excellent customer service, our own logistics platform allows us to optimize our couriers' work to get you the food you want as fast as possible, and our restaurant platform allows restaurants to offer exciting food experiences for our customers in an optimal way. We work in small teams with high ownership, with each team focusing on a key area of the Wolt product stack. Every one of our product team members has a say in where we are going and what solutions we implement. We work with a passion, but we haven't forgotten how to have fun along the way! We’re now looking for a driven, charismatic, and commercially minded Ads & Promo Sales Specialist (SMB) to join our team in Israel. In this role, you’ll own the end-to-end sales journey for Small and Medium Businesses, acting as a trusted partner who combines strong sales execution with media understanding and analytical thinking. This is a high-impact role with real ownership, visibility, and opportunity to shape how merchants grow on Wolt. What you’ll be doing In this role, you’ll manage the full SMB sales cycle while working closely with local sales and account management teams to scale Wolt’s Ads and Promotions offering. Day-to-day in this role you’ll: Own the full sales cycle with SMB merchants, including prospecting, meetings, proposals, negotiation, and closing Lead sales conversations with business owners and key decision-makers, building long-term partnerships Create tailored advertising and promotion solutions based on merchant goals and performance data Analyze campaign results and translate insights into clear, actionable recommendations for merchants Collaborate closely with local sales and account management teams, sharing insights and best practices Act as a knowledge partner by supporting, training, and motivating Account Managers to sell Ads and Promotions effectively Our humble expectations* 3+ years of experience in a sales role, ideally within media, e-commerce, or trade marketing Proven experience working with SMBs and managing full-cycle sales processes Strong commercial and analytical mindset, with the ability to use data to drive decisions Experience working with CRM tools (e.g. Salesforce, HubSpot, Monday) Excellent communication skills in both Hebrew and English, with confidence engaging senior stakeholders What we offer A high-impact sales role at the intersection of media, retail, and technology Real ownership over your pipeline, results, and merchant relationships The opportunity to work with diverse local businesses and directly influence their growth A collaborative, fast-paced environment with strong cross-team partnership Continuous learning and professional development within one of Wolt’s fastest-growing domains[ Next steps* If this role sounds like a good fit for you, we’d love to hear from you. Apply through our careers page, and our Talent Acquisition team will review applications on a rolling basis. The hiring process typically includes an initial recruiter conversation, followed by interviews with the hiring team and a practical or business-focused exercise. Wolt Ads are trusted by over 180,000 brands and merchants worldwide. Over 80% run ongoing campaigns and continue to return. You are invited to visit link below and watch the short video to learn more about Wolt Ads. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote or Mississauga Workplace: hybrid About the Role: As a Junior Site Reliability Engineer, you will learn how modern software systems are built, operated, and improved in production.  You will work alongside experienced SREs who directly operate a small number of critical production services while also helping engineering teams improve reliability, observability, automation, and operational excellence.  This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex distributed systems behave under real-world conditions.  You will gain hands on experience building and using AI powered operational tooling that helps engineers investigate incidents, improve observability, automate repetitive tasks, and eliminate operational toil.          Key Responsibilities:        Production Engineering  Support the operation of critical services owned by the SRE team.  Assist in monitoring service health, availability, and performance.  Participate in incident response activities under mentorship.  Learn on-call practices and production operations.  Assist with deployment validation and operational readiness activities.             Reliability Engineering & Observability Support implementation of monitoring, alerting, dashboards, and observability improvements.  Learn how logs, metrics, traces, and events are used to diagnose production environments.  Help identify monitoring gaps and areas for improved visibility.  Participate in post incident reviews and reliability improvement initiatives.  Develop foundational understanding of SLIs, SLOs, and Error Budgets.               Automation & AI Operations  Develop scripts and automation to eliminate repetitive operational work.  Contribute to internally developed AI powered operational tools.  Learn how AI can accelerate troubleshooting and root cause analysis.  Support development of AI assisted runbooks and operational workflows.  Help identify opportunities to reduce toil through software engineering and automation.                Engineering Enablement  Partner with development teams to better understand production systems.  Assist teams in adopting reliability and observability best practices.  Support operational readiness reviews.  Learn how reliability influences software design and architecture decisions.            Required Skills and Qualifications: 0-2 years of experience through employment, internship, or co-op programs.  Degree or diploma in Computer Science, Software Engineering, or equivalent experience.  Basic programming or scripting experience.  Strong problem solving skills.  Curiosity and desire to learn complex systems.  Effective communication and teamwork skills.                Preferred Qualifications: Exposure to Azure cloud services.  Exposure to Kubernetes or containerized applications.  Familiarity with observability platforms such as Datadog, AppDynamics, Grafana, Prometheus, or ELK.  Interest in AI, automation, and distributed systems. Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $70,000 -$80,000 and fulltime benefits.  Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $625,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. What you'll be doing We’re hiring a Senior Product Manager to work on a core product area (strategy, roadmap, and outcomes) within our B2B SaaS platform. PM’s at Xelix don’t do delivery-only work and we’re not a feature factory. The expectation is that you understand problems deeply , make good decisions , and own the outcomes — even when things are ambiguous or messy. You’ll work closely with Engineering, Design, AI Engineering, and go-to-market teams to set direction, align teams, and drive measurable customer + business impact. Own a product area (not just a backlog) Take clear ownership of a product area, including defining the strategy, problem thesis, and what success looks like and how it will be measured. Spend time getting to the root of problems before jumping to solutions, synthesising evidence across customers, data, and internal teams. Make prioritisation decisions and trade-offs, and explain them clearly including when to double down, sequence differently, or stop work that isn’t delivering impact. Discovery and Decision-Making Run focused, proportionate discovery using customer interviews, data, and internal expertise enough to build confidence in decisions, not to delay them. Work closely with stakeholders, but take responsibility for the final call. Say no when needed, delivering a clear why backed by context and reasoning. Bring stakeholders with you through calm, high-context decision-making. Validate the biggest assumptions quickly before committing teams to build, using the fastest credible methods to reduce risk. Lead through influence Create alignment across Engineering, Design, AI Engineering, and GTM on what we’re doing, why we’re doing it, and why now. Navigate disagreement on approach (product vs solution, speed vs quality, short-term vs long-term) with clarity and good judgment. Proactively manage cross-team dependencies and unblock progress in ambiguous environments. Ship, Learn, and Adapt Work with a cross-functional squad to deliver iteratively and get real feedback early and often. Treat launch as part of the work, not the finish line. Work closely with Marketing, Sales, Account Management, and Services so teams understand the what and why to make sure what we ship can be sold, supported, and adopted. Track adoption, usage, behaviour change and feedback to understand whether value was actually created and where iteration is needed. Define leading indicators early and ensure we can measure what matters. Strategic & commercial impact Partner with Commercial and Customer teams to understand revenue/retention drivers and translate them into the highest-leverage product opportunities. Balance scalable product bets with platform health and customer realities, making principled trade-offs. Contribute to product strategy beyond your immediate scope by surfacing insights, risks, and opportunities. Communicate Clearly PMs should be able to tell clear, compelling stories, and elicit them from others. Always adapting to the audience. Write and speak in a way that makes complex things easier to understand. Be clear about intent, context, and decisions. What Success Looks Like After 6–12 months: You clearly own and shape a product area that matters, with clear evidence of customer and business impact. Teams understand why work is happening, not just what . Launches show real adoption and impact, and you iterate quickly when the data disagrees with the plan. Stakeholders trust your judgment, even when you push back, because your decisions are high-quality and well-communicated. What you’ll bring You’ve spent significant time building B2B SaaS products in complex problem spaces and can point to measurable outcomes you’ve owned. You care more about outcomes than output. You’re comfortable making decisions with incomplete information and owning the consequences. You can zoom into detail without losing sight of the bigger picture. You operate well in ambiguity: you create clarity, alignment, and momentum where none exists. You use AI as a practical tool to increase your leverage and efficiency; well beyond “Claude, improve my writing.” You apply clear judgment about when AI meaningfully improves product outcomes. You like working in environments where expectations are high and ownership is real. Bonus Experience in fintech, accounting, or financial operations software. Exposure to data-heavy or ML-enabled products. What we offer in return 💰 Competitive salary of £85,000 - £95,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote- United States Remote, United States | Full time | Reports to the CEO Compensation: $120K to $150K total compensation (base plus performance bonus) plus equity. This is our founding marketing hire. You are being hired to fire the CEO from his second job. Whippy grew to 1,000+ customers with almost no marketing team. Pipeline comes from founder led webinars, partner channels, referrals, and customer stories good enough that prospects quote them back to us. Right now the CEO personally writes the case studies, directs the website, organizes the events, and approves every asset, while the audiences we already own sit untouched: no sequences, no retargeting, no cross sell motion. Your job covers both halves of that problem. You codify the message, and you build the machine that ships it. Then you own a pipeline number the way an AE owns a quota. One thing to know before you apply: this is a rare shape of role, deliberately. Most product marketers hand their messaging over a wall to someone else who distributes it. Most lifecycle marketers get handed messaging they didn't write. Here there is no wall. The person who writes the story builds the sequence it goes in. If you've spent your career on one side of that wall, this is not your job. If you've done both and hated the wall, keep reading. WHY WHIPPY Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work. Our deepest market is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We are bootstrapped and profitable, with named, public case studies showing customers saving $1M+ per year. The proof exists. The machine to distribute it does not. That is the problem you are hired to fix. HOW WE WORK Bootstrapped and profitable, so revenue is the strategy, and marketing is measured in pipeline, not impressions. No task is above or beneath anyone here: you will interview customers yourself, write the first draft yourself, and build the sequence yourself. Use AI for leverage: research, repurposing, ops, the grunt work. Never for voice. THE MANDATE, IN PRIORITY ORDER 1. Codify our messaging, then enforce it. Your first deliverable: extract our positioning from the founder's webinars, demos, and the language customers use in our case studies, and turn it into one messaging document. Positioning, product one liners, proof points, banned phrases, competitive framing against the tools we replace. The messaging exists today; it lives in the founder's head and a dozen slightly different pages. You make it one source of truth that everything you ship afterward draws from. 2. Own email and lifecycle marketing end to end. This is where your messaging goes to work, immediately. Audiences we already own and never touch: a thousand customers who hold one product and have never heard about the other five, everyone who demoed and did not close, closed lost deals, and warm site traffic with no retargeting layer. You build the sequences, the drips, the new product announcement motion to the base and to dead pipeline, and the retargeting programs. Nothing here requires inventing demand. It requires finally talking to the people already in the building. 3. Own marketing HubSpot. Today we run HubSpot as a CRM and nothing more: contacts are messy, marketing contacts are unmanaged, lifecycle stages are unused, and no lead has ever entered a nurture. You clean it up and make it the measurement backbone: contact hygiene and segmentation, marketing contact management, lifecycle stages, campaign tracking, and attribution from first visit through demo to close, working alongside our sales ops resource, so for the first time we can say which motion sourced which dollar. 4. Build the proof engine. The CEO writes our case studies today, and prospects quote them back to us. You take that over: extract stories from webinar and call recordings, interview the customers, draft in our voice, get approvals, and arm every story as a page, a PDF, a one pager, and clips cut from recordings we already have. Then turn the library into enablement: battlecards against the tools we replace, per product one pagers built from our Solutions Engineer's technical documentation, and kits for the ATS partner reps who already recommend us inside their own demos and have never been given a single asset to do it with. Everything you write feeds everything you send. 5. Turn events into campaigns, and manage our content writer. The CEO runs the webinars and the dinners; he is the talent. You make sure nothing he generates goes to waste: promotion and registration before, follow up sequences after, and extraction, so every webinar becomes case studies, clips, and campaigns within two weeks instead of sitting in a recording. And our blog and SEO writer reports to you: you set editorial priorities against the messaging doc, raise the bar, and turn one person patching articles into a content function. WHAT SUCCESS LOOKS LIKE - First 30 days: the messaging doc exists and the CEO signed it, you know our six products, three main competitors, and customer stories cold, marketing contacts in HubSpot are cleaned and segmented, and the first lifecycle sequence is live. - First 90 days: two new named case studies shipped and armed, cross sell and demo no close sequences producing measured pipeline, retargeting live, attribution reporting running in HubSpot from visit to close, and partner enablement kits in the hands of at least two ATS partner teams. - Year one: marketing is a predictable pipeline channel with its own number, every customer and dead deal in our database is in a motion, the proof library covers every product and vertical, and the CEO has not written a case study, built a sequence, directed a website page, or chased an event follow up in six months. WHO SUCCEEDS HERE You have 4+ years in B2B SaaS marketing, and your career crossed the wall: you did hands on lifecycle, email, or growth work, and you did real product marketing, positioning, competitive, enablement, whether or not the titles said so. Most people like this come from companies under 100 people, where they were one of one or two marketers and did everything because nobody else would. That's who we want. You can show us both kinds of receipts. Sequences you built with your own hands and what they produced. And named case studies or messaging work you personally shipped and got approved, with the story of how you got each customer to yes. You are genuinely strong in HubSpot: workflows, marketing contacts, segmentation, lifecycle stages, attribution, not just sending emails from it. You write clearly and fast enough that a demanding founder reads your draft and does not reach for the red pen. You know your numbers: pipeline sourced, conversion rates, what each motion returns. Ideally you've done this at a vertical SaaS company selling to SMB owners and operators. Bonus points if you started in sales or SDR work, because you will be embedded with the sales team and you need their instincts. THIS IS NOT FOR YOU IF - You want a brand or pure strategy role. This is a shipping role with a strategy layer, in that order. - You can position or you can distribute, but not both. Half this job is writing the message, half is building the machine that sends it. Missing either half makes this a bad time. - You have opinions about email marketing but have never built the workflow yourself. - You talk strategy more fluently than you talk numbers. - You need an agency and a big budget before anything ships. - You want to manage the work instead of doing the work. WHY JOIN NOW The hardest part of marketing is having something true to say. We have customers saving seven figures with named executives on the record, a category lead in AI, partner reps who recommend us unprompted, a founder who generates demand every time he speaks, and thousands of people already in our database who have never been sent any of it. You are the first marketing hire on a clean cap table. The message is yours to codify and the machine is yours to build, and you get to do it your way.

Location: United States Company introduction: Compass Pathways plc (Nasdaq: CMPS) is a biotechnology company dedicated to unlocking urgently needed new treatment options in mental health care. The Company is headquartered in London, UK, with a U.S. office in New Jersey. We believe mental health patients deserve the possibility of a better future. Our initial focus is developing COMP360 psilocybin, a proprietary, investigational, synthetic psilocybin treatment under evaluation for treatment-resistant depression (TRD) and post-traumatic stress disorder (PTSD). COMP360 is a potentially first-in-class treatment and has Breakthrough Therapy designation from the U.S. Food and Drug Administration (FDA), as well as Innovative Licensing and Access Pathway (ILAP) designation in the UK for TRD. We are leading the world’s largest classic psychedelic clinical program in TRD, and building upon that robust foundation, we are executing a late-stage trial evaluating COMP360 for PTSD, another condition with high unmet need. Our goal is to advance treatments that move the field of psychiatry towards treatment options that offer rapid onset and sustained durability with infrequent dosing. - Compass Pathways Job overview : The Therapeutic Sales Specialist (TSS) is a field-based, individual contributor role responsible for driving adoption and appropriate use of an innovative mental health therapy at certified treatment centers within a defined territory. This role will execute against the regional commercial strategy by developing strong partnerships with psychiatrists, healthcare providers, and integrated care systems, while ensuring alignment with regulatory, safety, and patient access frameworks. The TSS will play a critical role in the launch of a novel therapeutic modality, engaging providers through a highly consultative, clinically driven approach. This individual will operate at the intersection of clinical education, account management, and patient access, helping to shape a new treatment ecosystem in mental health. Location: Field based in Santa Monica, CA - Thousand Oaks, CA - Santa Barbara, CA and able to travel up to 70%, dependent upon geography. Reports to: Regional Sales Director. Roles and responsibilities ( Include but are not limited to ): Execute territory-level commercial strategy to support successful launch and uptake of the company’s innovative mental health therapy Develop and maintain strategic relationships with psychiatrists, treatment centers, behavioral health systems, and other key stakeholders Deliver scientifically accurate, compliant, and compelling product and disease-state education to healthcare providers Identify appropriate patients and support healthcare providers in understanding patient selection and referral pathways Collaborate with certified treatment sites to support onboarding, readiness, and optimization of treatment delivery workflows Navigate site-of-care dynamics, including scheduling, patient flow, and operational considerations unique to the treatment model Partner cross-functionally with Medical Affairs, Market Access, Patient Support, and Commercial Operations to ensure coordinated execution Support patient access by understanding reimbursement pathways, assisting providers with access-related challenges, and connecting to relevant resources Gather and communicate actionable field insights to inform brand strategy, patient journey optimization, and launch execution Manage territory business planning, including account prioritization, call planning, and performance tracking Demonstrate highly ethical, compliant, and patient-centric behaviors in all engagements Contribute to a culture of collaboration, accountability, and continuous learning within the broader sales organization Candidate Profile: Bachelor’s degree required (advanced degree preferred) 5–8+ years of pharmaceutical or biotech sales experience, preferably in specialty or complex therapeutic areas Experience in the below is preferred: Psychiatry, CNS, or behavioral health markets Medical and pharmacy benefit reimbursement Buy-and-bill and site-of-care dynamics Prior authorization and payer processes Demonstrated success in launching novel therapies or operating in pre-launch environments Experience working with specialty treatment centers, IDNs, academic medical centers, or complex site-of-care models preferred Strong clinical acumen and ability to communicate complex scientific concepts in a clear and compelling way Proven track record of building trust-based relationships with healthcare providers Experience supporting therapies requiring site certification, specialized administration, or coordinated care delivery models is highly desirable Highly collaborative, with the ability to work effectively across cross-functional teams Strong business acumen, territory management, and organizational skills Compensation Description (annually): Our compensation package for permanent hires includes base salary, discretionary bonus, and equity, alongside our comprehensive benefits offering. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. 【Base salary per annum】: $165,000 — $195,000 USD Benefits: For an overview of our benefits package and compensation information, please visit  " Joins us - Our Benefits ". These include f lexibility & generous time off, parental & reproductive support, health & medical, mental health & wellbeing and Financial health. Equal opportunities: Reasonable accommodation We are committed to building a workplace where everyone’s wellbeing matters. If you need reasonable accommodation during the interview process to be at your best, please let our recruiting team know. UK applicants We are proud of our commitment to diversity and equality (pursuant to the Equality Act 2010). We do not discriminate based upon race, religion or belief, colour, nationality, ethnic or national origin, gender, pregnancy or maternity, marital or civil partner status, sexual orientation, gender reassignment, age or disability. US applicants Compass Pathways is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, and related medical conditions), ethnicity, age, disability, sexual orientation, gender identity, gender expression, military service, genetic information, familial or marital status, or any other status, category, or characteristic protected by applicable law. Sponsorship : Unfortunately, we cannot sponsor employment visas and can only accept applications if you have employment rights in the country to which you are applying. Data Privacy: All data is confidential and protected by all legal and data privacy requirements, please see our recruitment Privacy Notice to learn more about how we process personal data.

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: When an LG refrigerator, washer or range breaks down in a customer's home, LG Electronics' Service organization makes sure it gets fixed. We're looking for a Customer Service Analyst to help us use data and AI to make those repairs faster, more reliable and easier for customers. In this role, you'll find where repairs get stuck, learn why customers are happy or unhappy, and estimate how many technicians we'll need and where. You'll turn what you find into clear reports and recommendations that leadership acts on. Along the way, you'll see the whole repair journey, from a customer's first call to the finished repair and the follow-up survey. The ideal candidate is curious, careful with numbers, and enjoys using data and new technology to solve real business problems. Responsibilities: Most of your time will go to answering real business questions with data, then explaining the answers simply. Here are some examples of what you'll do: Track how our service is doing. Keep weekly and monthly reports current on the numbers that matter most: how many days a repair takes, how often it's fixed on the first visit, and how many requests are still waiting. Find out why the numbers move. When repair times jump or satisfaction drops, you dig in. For example: do faster repairs really make customers happier? You'd match survey scores to repair times and analyze customer comments to find out. Forecast repair demand. Estimate how many repair requests each region will get in the coming months, combining our service history with public data such as weather and census figures. Leaders use these forecasts to decide where to place and hire technicians. Use AI and automation to cut manual work. Turn reports that are rebuilt by hand each week into dashboards that refresh on their own. Try AI tools, including generative AI, to speed up tasks such as cleaning data, sorting customer comments or drafting meeting notes. Keep the data trustworthy. Check that numbers match across sources before anyone uses them, fix the queries that feed our reports, and write simple guides so teammates can reuse the data. Prepare leadership updates. Build slides and summaries for business reviews, including monthly reports to LG headquarters in Korea, that lead with the answer and the recommendation. Excel is the tool you'll use most, and SQL (Google BigQuery) comes next for pulling and checking data. If you're still learning SQL, that's fine, but expect to build it up quickly on the job. You'll also use Google Sheets, dashboards (Tableau, Looker Studio), PowerPoint and, for heavier analysis, Python. Education / Experience (Requirements): Bachelor's degree in Business, Economics, Data Science, Statistics, Mathematics or a related field 2+ years of experience in data analysis, business analytics or strategic planning Fluent Excel skills: comfortable with basic formulas, pivot tables and building charts Experience building reports or dashboards in a BI tool such as Tableau, Power BI or Looker Studio (formerly Google Data Studio) Interest in, or hands-on experience with, using AI tools for analysis or automation — while verifying AI-generated results and being able to explain the logic and assumptions behind them Problem-solving skills: you can take a vague question, break it into steps and find the answer in the data Clear communication: you can explain numbers in plain words, in writing and in slides, to people who aren't analysts Care for accuracy: you check that your numbers add up before you share them Preferred Qualifications: Advanced Excel skills: LOOKUP (VLOOKUP, XLOOKUP), pivot tables, formulas, charts, and Solver and what-if simulation Korean–English bilingual: our work includes regular communication with LG headquarters in Korea Experience with SQL or Python for analysis Experience using generative AI tools to speed up analysis, coding or writing Familiarity with cloud data platforms such as Google Cloud (BigQuery), AWS or Azure Coursework or projects in forecasting, statistics, or survey and text analysis Interest in customer service, operations or logistics Recruiting Range $70,000 — $75,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Romania (remote) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 160,000 - 200,000 RON per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Analytics AI Platform Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Bulgaria (Hybrid, Sofia) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 30,000 - 38,500 Euro per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Munich We are entering a new era of work — one where AI agents collaborate alongside people to plan, act, and deliver outcomes at a scale and speed that wasn't possible before. At Asana, we call this Agentic Work Management: the orchestration of humans and AI agents toward shared goals, with full clarity on who is responsible for what, every step of the way. As a Corporate Account Executive, you will be at the forefront of this shift. You won't just be selling software — you'll be helping DACH organisations understand and solve their most pressing work management challenges, and guiding them toward a future where their teams and AI agents move together with purpose and trust. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead with Discovery: Open every engagement with genuine curiosity to uncover hidden friction, misaligned priorities, and coordination failures that cost customers time, money, and trust. Surface Real Pain: Ask the questions that reveal deep operational challenges—not just the stated need—so that solutions you propose are anchored in what actually matters to the business. Map Stakeholder Motivations: Map stakeholder motivations from frontline teams to the C-suite, identifying where the greatest leverage lies for transformative change. Drive Customer Outcomes: Manage a portfolio of corporate customers with a relentless focus on measurable business impact and outcomes that your champions can proudly report upward. Expand Account Revenue: Hunt and develop new business within your book while deepening relationships across existing accounts, expanding usage into new teams and departments. Engage Executive Leadership: Engage executive and IT stakeholders to align on organisation-wide deployment of Asana, making it the connective tissue between human decision-making and AI-driven execution. Territory Strategy Execution: Design and execute a clear quarterly territory strategy aimed at revenue growth and long-term customer success. Build Trust in Collaboration: Help customers envision and confidently adopt a new way of working where AI agents are trusted teammates with clearly defined roles. Articulate Platform Value: Articulate how Asana's Agentic Work Management platform provides the structure, accountability, and transparency needed to make human-AI collaboration reliable and scalable. Champion Ownership Shifts: Champion the shift from activity-based work to outcome-based work, showing how clarity of ownership accelerates what organisations can achieve. Guide AI Adoption: Act as a credible, empathetic guide for customers who are excited about AI's potential but uncertain about where to start, building the safety needed to take bold steps forward. Orchestrate Internal Partnerships: Collaborate closely with Sales, Marketing, Solutions Engineering, and Customer Success to orchestrate seamless, high-value customer journeys. Pioneer Sales Innovation: Experiment with new approaches and share what works, scaling regional innovations globally. About you Consultative seller who leads with questions before answers, building long-term revenue on trust and customer success. Fluency in written and spoken German and English, communicating with precision and warmth in both. Proven ability to run a structured, repeatable sales process (e.g., MEDDPICC, Sandler, Challenger) with discipline from first call to close. Track record of building your own pipeline through proactive prospecting rather than relying on inbound leads. Deep skill in discovery, possessing the ability to listen past the surface, ask uncomfortable questions with care, and connect pain to possibility. Experience managing complex, multi-stakeholder corporate or enterprise sales cycles end-to-end. High emotional intelligence, building trust quickly, navigating ambiguity calmly, and treating every customer interaction as a long-term investment. Proactive, accountable, and outcome-oriented demeanor, setting clear goals and executing with rigour. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the On-Target Earnings (OTE) range is €150,000 – €190,000. The total OTE includes a base salary range of €82,500 – €104,500 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified. In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.  We are looking for a security & control expert  to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher.  This is truly a "start-up role" in the sense that you have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Threat modeling for coding agents Develop threat models for coding agents under the assumption that they could be misaligned or compromised. This includes near-term threats like AI agents leaking private internal data and long-term threats like agents sabotaging safety research. Treat coding agents through the lens of insider risk: they have credentials, access to code, network access, and the ability to execute arbitrary actions, just like a malicious insider would (see Control agenda ). Map out kill chains and attack progressions similar to frameworks like MITRE ATT&CK, adapted for agentic AI. See e.g. the Agentic Loss-of-Control Threat Matrix for an example of a high-quality contribution. Build and maintain our “coding agent security levels” which define what level of robustness Watcher provides against different categories of failure modes. These levels should be concrete, testable, and usable both internally (to guide product priorities) and externally (to communicate our security posture to customers). Failure mode library and literature Maintain our library of coding agent failure modes and keep it comprehensive, accurate, and current. Stay up to date with the academic and industry literature on coding agent security, AI security, and adjacent fields (prompt injection, deception, accidental security implications, supply chain attacks on AI systems, etc.). Attack design for monitor development Design realistic attack trajectories and example exploits for monitor development and backtesting, work with the research team to ensure monitors are trained and evaluated against credible adversarial behavior. Trajectory adjudication Serve as security adjudicator for flagged trajectories. When monitors flag ambiguous agent behavior, determine whether it represents a genuine attack, a benign-but-unusual workflow, or needs deeper investigation, and feed those judgments back into monitor improvement. Red-teaming Watcher Red-team and improve Watcher's monitors and policies, document findings, and feed them into product improvement. Work with the technical research staff to build adversarial test suites into the backtesting pipeline. *This role is distinct from the AI Security Researcher role on Apollo's Infra & Security team, which threat-models Apollo's own internal systems and the agents operating on them. REPRESENTATIVE PROJECTS Develop a comprehensive coding agent threat model: Think deeply about all the ways in which coding agents could attack an organization. Compare this threat model to conventional threats from human insiders. Publish a detailed research piece describing the threat model building on existing research, e.g. from Redwood Research. Improve our database of failure modes: We have an internal database of 50+ failure modes of coding agents with detailed reports for all of them. For this project, you would provide an expert view on the current state of that database and suggest improvements. In the long run, you would maintain that database and be responsible for integration of new failures. Prioritize failure modes that Watcher should cover: Different parts of Watcher attempt to cover different threat models and attack strategies. Based on the results of the threat model project above, we want to ensure that each part of Watcher covers the most important failure modes in the most efficient way. For example, not all monitors require blocking capability and some failure modes might benefit from additional affordances like being able to disperse subagents. JOB REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls, not just write policies. Direct experience with security research, threat modeling, or offensive security. Comfortable working in a small, fast-moving team, and comfortable owning ambiguous, open-ended research questions. Strong written communication this role produces threat models, security levels, and failure mode documentation that need to be clear and precise Nice-to-haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp-up time. Detection engineering, SOC, or incident analysis experience. A part of this role is judging whether flagged agent behavior is genuinely malicious, and people who have triaged real-world alerts might ramp much faster. Familiarity with insider threat programs or insider risk frameworks. The mental model of "the coding agent is a potentially malicious insider" is useful for this role and someone who has worked on insider threats will pick it up faster. Red teaming or offensive security background. Useful for the Watcher red-teaming responsibilities and for thinking adversarially about failure modes. Formal AI safety research background. Helpful but not necessary. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. Explicitly not required Management experience. This is an IC role, at least initially. Specific certifications (CISSP, etc.). We care about demonstrated ability, not credentials. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY    Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers.    We are currently building Watcher,  a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly.  You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023] ) and test them on real-world production systems at scale. Research & Development Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Build and maintain high-quality datasets to train and test monitors on Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Fine-tuning & Monitor Development Fine-tune open-source models to create efficient monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes Incorporate adversarial findings from red-teaming campaigns into monitor design and evaluation, closing the loop between attack and defense JOB REQUIREMENTS Must-haves 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. REPRESENTATIVE PROJECTS Hierarchical monitoring for coding agent security : Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions. Fine-tune an open-source model to be a great monitor: Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: United Kingdom; Spain; United Arab Emirates Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain, the UK, or the UAE. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent (local contract) UAE: Full-time, permanent via Deel (our employer of record in the UAE) Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom Life at Airalo · United Arab Emirates: https://airalo-public.notion.site/life-at-airalo-united-arab-emirates   As our Partnerships Growth Marketing Manager, you'll help Airalo acquire more customers through marketing initiatives with our largest strategic partners. Working closely with our Partnerships Key Account Managers, you'll identify and develop opportunities that go beyond traditional cross-selling. This could mean launching joint campaigns, developing promotional partnerships, or finding new ways to reach customers through our partners' audiences and marketing channels. You'll be expected to bring your own ideas, evaluate their commercial potential, and build the business case for initiatives worth pursuing. From there, you'll lead campaign planning, coordinate execution with our Growth teams, and measure the results. Reporting to the Director of Marketing Strategy & Operations, you'll work closely with Commercial Partnerships, Growth, and Product to turn existing partner relationships into meaningful, cost-efficient customer acquisition opportunities. We're looking for someone who combines creative marketing thinking with strong commercial judgment and knows how to turn a promising idea into measurable growth. What You'll Do: Identify growth opportunities: Work with Key Account Managers to proactively identify and evaluate new marketing opportunities across Airalo's strategic partners, building business cases based on customer acquisition potential, costs, and expected returns. Develop joint marketing campaigns: Create campaigns, promotions, and acquisition initiatives that leverage partners' customer bases, owned channels, and marketing capabilities to reach new audiences. Lead campaign strategy and execution: Own campaign concepts, joint value propositions, channel plans, launch timelines, and success metrics, coordinating delivery across Airalo's Performance Marketing, CRM, Creative, Brand, and partner marketing teams. Drive cost-efficient acquisition: Identify opportunities to acquire customers at attractive CACs through partner-owned channels, shared marketing initiatives, and co-funded campaigns. Measure and optimize performance: Track incremental customer acquisition, CAC, revenue, and campaign profitability. Experiment with audiences, offers, messaging, and channels to improve results. Build scalable programs: Develop repeatable processes and playbooks for identifying opportunities, launching campaigns, measuring performance, and scaling successful initiatives across partners. Collaborate across the business: Build strong relationships with Commercial Partnerships, Product, Growth, Data, Finance, and Legal to align priorities and bring initiatives to market. What You'll Bring: 7+ years of experience in growth marketing, partner marketing, or integrated marketing , with demonstrated commercial outcomes. Hands-on experience developing and executing co-marketing campaigns or joint marketing programs with external partners. Strong understanding of customer acquisition, conversion optimization, CAC, and marketing performance measurement. Experience planning integrated campaigns across multiple marketing channels, including paid media, CRM, and partner-owned channels. Strong commercial acumen, with the ability to evaluate opportunities, build business cases, and prioritize initiatives based on expected impact and return on investment. Excellent stakeholder management skills, with the ability to influence and coordinate teams without direct reporting authority. A proactive, entrepreneurial mindset, with the ability to identify opportunities and turn ideas into executable marketing initiatives. Strong analytical skills and confidence using performance data to guide decisions and optimize results. Excellent written and verbal communication skills in English. Nice to Have Experience in travel, airlines, fintech, loyalty programs, marketplaces, telecom, or consumer mobile apps. Experience developing co-funded marketing campaigns with large consumer brands or distribution partners. Familiarity with affiliate marketing, referral programs, or performance-based partnership models. Experience with experimentation, attribution, and incrementality measurement. Experience managing marketing initiatives across multiple international markets. If you are interested in this position, please apply to the ad. Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. 🇦🇪 Why people join us in the UAE We're a fully remote team across 60+ countries, built on a simple idea: trust people to own their work and deliver without unnecessary layers or heavy process getting in the way. Many people joining us from the UAE are looking for clarity in scope and real ownership in their role. They want to know what they're responsible for, how success is measured, and have direct access to the people making decisions. What often stands out is the combination of a global, product-led company with a flexible remote setup. For many, it's the opportunity to work on a product used by millions of travelers worldwide, alongside a team that moves quickly and values clear ownership and accountability. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 📍 UK: £66,800 – £100,200 📍 Spain: €49,600 – €74,500 📍 UAE: 342,400  -  AED: 513,600 Your Home Destination: 🛫 Specific salary ranges used in offers are determined by where you reside. We’re committed to discussing these ranges openly during your first call with our Talent to ensure we’re aligned for takeoff! 🎒✨

Location: Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your Mission As Senior Director, People Operations, you will lead the operational backbone of the People function across Catawiki’s operating countries. You will set the strategic direction for People Operations, Payroll, Reward and Benefits, Compliance, Employee relations & Wellbeing, Facilities and Workplace Experience. You will strengthen scalable and compliant operations while maintaining a consistent employee experience. This includes improving processes through automation, AI and self-service, strengthening governance and controls, and enabling better decisions through people insights. What You’ll Do Define and own the strategic roadmap for People Operations, payroll, well-being and facilities, aligned with the Business and People strategy. Lead and develop the People Operations, payroll and facilities teams and well-being expert, establishing clear priorities, ownership, service standards and ways of working. Strengthen people operations across the employee lifecycle, including payroll, benefits, compensation operations, documentation and compliance, using automation, AI and self-service to improve scalability and efficiency. Ensure compliance with employment legislation, payroll, tax, audit and people-related ESG requirements, partnering with HRIS, Finance, Legal and external providers to maintain strong controls and resolve issues. Oversee employee relations, well-being and absence management, providing senior direction on complex cases and using data and insights to identify risks and improve policies and practices. Own the facilities and workplace experience strategy for the Amsterdam and Lisbon offices, ensuring effective operations and appropriate standards for health, safety, security and hybrid working. Act as a senior escalation point for complex people, operational and workplace matters, working closely with the CPO on employee relations and Works Council topics. Evolve and implement the reward and benefits strategy with the CPO, including compensation visibility, role and salary benchmarking, and sustainable, data-informed improvements. What You’ll Bring Bring 12+ years of relevant experience in an international, fast-growing organisation, with deep expertise in People Operations and experience in areas such as Reward, Employee Relations, well-being or Facilities. Demonstrate experience leading multi-country People Operations at scale, including payroll, benefits, compensation operations, compliance and process improvement. Apply strong knowledge of employment law and employee relations practices in the Netherlands and other European countries, with sound judgement on complex cases and when to involve legal specialists. Bring experience with reward and benefits programmes inside and outside the Netherlands, including role and salary benchmarking. Use data, automation and emerging technologies, including AI, to challenge existing processes, improve decision-making and build scalable ways of working. Translate strategy into practical execution while managing priorities effectively in a fast-paced, hybrid and international environment. Communicate effectively and build trusted relationships with employees, managers, senior leaders and external partners, with professional fluency in English; Dutch is a strong plus. How We Work Our People team of around 40 people, mainly based across Amsterdam and Lisbon, works collaboratively and openly, using data and AI to inform our thinking while staying closely connected to the needs of the business. We also make time to connect socially and enjoy working together. Our senior leaders combine strategic direction with hands-on operational execution, with a focus on clear ownership, speed and scalable foundations. Our People team use data, insights and employee feedback to identify risks and opportunities and turn them into practical improvements. In this Sr Director role, you'll work closely with the CPO, People Leadership Team, People Business Partners, Talent Acquisition, HRIS, IT, Finance, Legal and business leaders across Catawiki. Where You’ll Be This is a hybrid role based in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Location: Espoo; Berlin Workplace: Hybrid Role highlights: - Senior Cloud Network Engineer - Location: Espoo, Finland or Berlin, Germany - Department: Product Networking - Reports to: Engineering Manager - Employment type: Permanent - Workplace model: Hybrid (3 days per week in office) - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Cloud Network Engineer, you'll help build the network behind a mission that matters: we defend nations and protect environments from space. ICEYE's satellite operations, ground systems and customer deliveries depend on cloud and hybrid networks that have to hold up when it matters most. You'll be one of the go-to experts for how those networks are architected in AWS and connected to the rest of our infrastructure, leading the subsystems you own and shaping how the team builds them. Few network engineers get to work on infrastructure like this. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Lead multi-sprint work on the cloud network subsystems you own, from architecture through rollout and day-to-day operation - Design and evolve ICEYE's AWS network architecture, including VPCs, Transit Gateways, Direct Connects and VPN connectivity - Connect cloud environments securely to ground stations, data centers and on-premises sites - Manage cloud network infrastructure as code with Terraform and version-controlled change through CI/CD - Act as a go-to expert for deep network issues in production, and put patterns and guardrails in place that prevent them from coming back - Shape how the team designs, reviews and documents network changes, with the impact on other teams in mind - Own critical production systems with a focus on reliability, observability and security against real-world threats What we're looking for Must haves: - A solid network engineering foundation built in data center, service provider or enterprise network environments - Extensive hands-on experience designing and operating network architecture in AWS, including VPCs, Transit Gateways, Direct Connects and VPNs - Strong experience with BGP and routing across hybrid cloud and on-premises environments - Infrastructure as code for networking with Terraform, Git and CI/CD pipelines - Experience with secure network design, including firewalling, segmentation and zero trust access - Ability to lead network architecture decisions and to explain and defend the trade-offs with peers - Pragmatic, collaborative mindset with the ability to balance technical quality with business needs Nice to haves: - Software development experience, especially for network applications and automation (for example Python or Go) - Strong Linux networking skills Application Process - TA Partner Screen Call - Hiring Manager Interview - Technical Interview - Values & Fit Interview - SVP of Engineering Interview Working at ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Israel Workplace: remote About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.   We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines.  At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. About the SignNow team   We are a passionate and ambitious team of 100+ people on a mission to succeed with our award-winning signature solution. SignNow empowers over 28 million people worldwide to move fast with everything they need to send and e-sign documents.   Now, we're looking to reimagine digital agreement workflows and build the next generation of SignNow through AI-native experiences.   About the role   As a Principal AI Product Manager, you will play a founding role in shaping SignNow 2.0, rethinking how customers prepare, execute, and manage digital agreements through intelligent, agentic experiences.   This isn't about simply adding AI features to an existing product. It's about identifying meaningful customer problems, challenging existing workflows, and creating fundamentally better experiences while maintaining the trust, transparency, and control customers expect from signNow.   This is a hands-on, entrepreneurial builder role with end-to-end product ownership, high autonomy, and the opportunity to shape the next generation of our product, backed by the scale, resources, and customer base of an established global company.   You'll work closely with engineering, design, data, and GTM teams to turn ambitious ideas into real customer value, validate solutions early, iterate quickly, and deliver measurable business impact. What you will be working on: Product vision & strategy: Define and execute the product vision and roadmap for AI-native agreement experiences, balancing near-term customer value with long-term strategic opportunities. End-to-end product development: Own the full product lifecycle, from problem discovery and opportunity validation to prototyping, launch, adoption, and continuous improvement. AI-native experiences: Reimagine existing workflows and build intelligent, agentic experiences that solve meaningful customer problems, with a focus on reliability, transparency, and user control. AI product & technical leadership: Define clear product requirements, working closely with engineering to evaluate technical trade-offs, ensure quality, and enable scalable execution. Customer & market discovery: Proactively engage customers, uncover and simplify complex problems, identify market opportunities, and validate hypotheses through research, experimentation, and hands-on prototyping. Business impact: Prioritize initiatives based on customer value, adoption, revenue potential, and ROI. Define success metrics and use evidence to drive product decisions. Strategic influence & alignment: Turn complex ideas into clear, compelling product narratives, build alignment across stakeholders, and drive decisions that connect immediate opportunities with long-term direction. Entrepreneurial execution: Take ownership, challenge assumptions, proactively remove blockers, and move quickly from ideas to measurable outcomes. Requirements 5+ years of end-to-end product management experience in high-growth or large-scale B2B/B2C SaaS companies. Proven product ownership: Experience independently identifying new product opportunities and leading products or major initiatives from concept to launch and measurable business impact. AI product expertise: Hands-on experience shipping AI-powered products, with strong product judgment around LLM capabilities, agentic workflows, quality evaluation, reliability, cost, and performance trade-offs. Strong product discovery and problem-solving skills: Proven ability to proactively engage customers, uncover and simplify complex problems, validate opportunities, and translate insights into clear product requirements and measurable outcomes. Strategic product thinking: Ability to identify market opportunities, develop a differentiated product point of view, make clear prioritization decisions, and connect short-term execution with long-term strategy. Exceptional strategic communication and influence: Ability to turn complex ideas into clear, compelling product narratives, build alignment, and drive decisions across technical and business stakeholders. Strong technical fluency: Ability to work effectively with engineering, understand architectural implications, evaluate trade-offs, and define technically feasible product requirements. Strong analytical understanding of product metrics, experimentation, and instrumentation. Entrepreneurial mindset and high ownership: Comfortable with ambiguity, challenging existing approaches, taking initiative, and moving independently from ideas to execution. Hands-on and experimental approach: Willingness to personally explore emerging technologies, prototype ideas, test assumptions, and continuously learn. Nice to Have Experience founding a startup, building independent products, or leading entrepreneurial initiatives, including ventures that didn't succeed. Experience developing AI-native products or agentic workflows. Experience with B2B workflow automation, document processing, or agreement management. Experience with hands-on prototyping using AI development tools. Sounds like a match? Apply and let’s explore how we can build impactful AI-powered products together. What we offer   Flexible working environment - Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.   Competitive compensation and stock options - We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.   Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.   Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.   Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.   Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.   Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.       It is airSlate's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.   Read our Recruitment Privacy Notice to Learn how we process your personal information.

Location: Espoo Workplace: Hybrid Role highlights: - AOCS Engineer - Location: Espoo, Finland / Warsaw, Poland - Department: Spacecraft Analysis, Orbit and Attitude Control - Engineering - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As an AOCS Engineer, you'll bring attitude and orbit control expertise to a constellation of 40+ Earth-observation satellites. You'll work across the full AOCS lifecycle, from design through on-orbit maintenance, analyzing performance, defining verification procedures, and leading anomaly investigations that keep our satellites precisely controlled and our SAR imagery sharp. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Analyze and improve on-orbit performance of AOCS components across a constellation of 40+ satellites - Lead market studies and trade evaluations for new ADCS and propulsion hardware, and introduce new AOCS components into satellites - Define, execute, and maintain verification procedures for AOCS components - Lead or contribute to AOCS anomaly investigations across multiple engineering domains to identify root causes - Maintain and improve operational procedures related to AOCS - Drive process improvements that affect the full in-orbit satellite constellation - Partner with satellite operations, radar, mechanical, electronics, manufacturing, and product teams What we're looking for Must haves: - BS/MS in Physics, Aerospace, Electrical Engineering, Mechatronics, or a related field - 2-4 years of experience designing, operating, or testing AOCS equipment or spacecraft hardware - Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3D geometry, feedback loops, state estimation - Solid understanding of astrodynamics and attitude determination and control principles - Working knowledge of Python and Git - Experience with electronic lab hardware (power supplies, oscilloscopes, etc.) - Strong troubleshooting and analytical skills Nice to haves: - Experience in multi-disciplinary environments (electrical, controls, mechanical, thermal) - Experience with flight dynamics software or libraries (e.g. STK, GMAT) - Experience working with GNSS - Proficiency in C++ Application Process - Talent Acquisition screening (remote) - Hiring Manager interview (remote) - Take-home technical task and panel interview (remote) - System thinking workshop (on-site) - Behavioural interview to assess cultural fit (on-site) WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is [xxxx-xxxx local currency] per month (gross), depending on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.